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R. Niyazova

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Open access Sep 2026

An Uncertainty-Aware Decision-Support System for Composite-Property Prediction with Physically Admissible Conformal Intervals

Machine-learning surrogates predict composite properties but report no calibrated reliability and may violate physics. Bound-constrained conformal prediction confines intervals to physical bounds but assumes them exact. This paper keeps the corridor as a hard constraint and characterizes what a decision-support system...

Magzhan Sarsenbay, S. Zhuzbayev, G. Baenova et al. · 0 citations

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